{"id":24914,"date":"2022-12-28T16:48:04","date_gmt":"2022-12-28T14:48:04","guid":{"rendered":"https:\/\/kpw-relaunch.wp1.visual4.com\/themen\/artificial-intelligence-ai\/"},"modified":"2026-04-29T18:22:22","modified_gmt":"2026-04-29T16:22:22","slug":"artificial-intelligence-ai","status":"publish","type":"topic","link":"https:\/\/kpw.law\/en\/topics\/artificial-intelligence-ai\/","title":{"rendered":"Artificial intelligence (AI)"},"content":{"rendered":"\n
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Artificial <\/p>\n\n\n\n

Intelligence<\/span>.<\/p>\n\n<\/div> \r\n<\/h1>\n\n\n

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Artificial intelligence is affecting more and more business processes. At the same time, there are still many unanswered questions when dealing with AI. <\/strong> Our team of specialized IT and IP lawyers advises companies and entrepreneurs on the handling and use of AI. <\/p>\n\n\n\n

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What is artificial intelligence<\/h2>\n\n

Artificial intelligence (AI) is, simply put, the simulation of human intelligence or competence by automated systems. This means that AI systems attempt to imitate skills such as learning, thinking or problem solving that normally only humans possess. Unlike traditional software, which consists of fixed rules and instructions, AI can learn from sample data and adapt its behavior to new situations. Conventional programs always deliver the same, predictable results when given the same input. AI systems, on the other hand, adapt their algorithms independently: They recognize patterns in the data and use them to derive rules for new data. As a result, AI applications are often more flexible and “intelligent” than conventional software. <\/p>\n\n

How does AI work?<\/h2>\n\n

Modern AI is primarily based on machine learning (ML)<\/strong>. Instead of programmers specifying all the decision rules, an AI model is trained with lots of sample data. It adjusts its internal parameters until it can solve the tasks set as well as possible. One common type is artificial neural networks – computational models that are modeled on the human brain. These networks consist of many virtual “neurons” that are connected to each other in layers. With enough data, they learn to recognize complex patterns, for example in images or spoken words. <\/p>\n\n

Large language models (LLMs)<\/strong> are a special type of neural network. These are very large language models with billions of training parameters that are trained on huge amounts of text. An LLM such as OPenAI’s GPT (the model behind ChatGPT) learns statistical relationships between words and sentences. This enables it to generate probable continuations from a given sentence beginning. In this way, LLMs answer questions in natural language or write coherent texts that often sound surprisingly human-like. <\/p>\n\n

Areas of application for AI<\/h2>\n\n

AI technologies are used in many areas today. Here are some important areas of application: <\/p>\n\n

AI in companies<\/h3>\n\n

AI offers companies enormous opportunities for automation and increased efficiency<\/strong>. For example, it can automate repetitive processes and analyze<\/strong> large amounts of data<\/strong> in order to gain valuable insights. AI-supported chatbots are used in customer service, which can answer questions and solve problems around the clock. AI can also help in marketing, for example by providing personalized product recommendations or addressing target groups more precisely. Overall, companies can use AI to make decisions faster, reduce costs and develop new business models. <\/p>\n\n

AI for creative applications<\/h3>\n\n

Artificial intelligence also opens up completely new possibilities in the creative field. Generative AI systems <\/strong>can create content independently – for example generative art<\/strong>, in which algorithms generate images or graphics that look as if they were created by humans. The same applies to music<\/strong>: AI can compose melodies or generate beats that serve as inspiration for artists. In design <\/strong>, AI tools support designers by suggesting layouts or color palettes. And in text generation <\/strong>, language models help authors by drafting texts or assisting with translation and proofreading. <\/p>\n\n

What is important is that AI will not replace human creativity, but will serve as a tool for finding new ideas and relieving the burden of routine work.<\/p>\n\n

AI in the legal sector (Legal Tech)<\/h3>\n\n

In the legal sector, AI is used to support legal activities under the heading of legal tech<\/strong>. For example, specialized AI programs can analyse documents and contracts by automatically checking contractual clauses for risks or irregularities. When analyzing documents, AI sorts and searches large volumes of legal texts (e.g. court rulings or legal texts) for relevant information in the shortest possible time. <\/p>\n\n

Here too, AI can support attorneys and relieve them of routine tasks. This gives lawyers and legal professionals more time to focus on complex legal issues and advising their clients. <\/p>\n\n

Generative AI: examples of text, image, video and music generators<\/h2>\n\n

A particularly rapid trend in recent years is generative AI – AI systems that can independently generate content such as texts, images, videos or music. Such systems learn from existing data (e.g. thousands of images or books) and can create new works from it. Here are some well-known providers and models of generative AI in various media sectors: <\/p>\n\n